This paper investigates market-level and private investor trading patterns and performance around earnings announcements. We document clear evidence for abnormal trading around earnings announcements for both the entire market and households in Germany and observe that private investor...

In this study, we examine the options market reaction to bank loan announcements for the population of US firms with traded options and loan announcements during 1996-2010. We get evidence on a significant options market reaction to bank loan announcements in terms of levels and changes in...

Signaling models contributed to the corporate finance literature by formalizing "the informational content of dividends" hypothesis. However, these models are under criticism as the empirical literature found weak evidences supporting a central prediction: the positive relationship between...

This article develops an agent-based model of security market pricing process, capable to capture main stylised facts. It features collective market pricing mechanisms based upon evolving heterogeneous expectations that incorporate signals of security issuer fundamental performance over time....

This study examines the effect of option volume relative to stock volume (O/S) on market response to earnings surprises. The market reaction per unit of earnings surprise is lower for firms that have high O/S prior to earnings announcement than for firms with low O/S prior to earnings...

Does good news cover bad news? We show evidence from the Chinese stock market in which the fiscal year of a firm is always the same as the calendar year. Listed firms are required to announce their annual reports by the end of April, the same date of the deadline for announcements of first...

In early 2019, the stock prices of the German company Wirecard AG experienced market turmoil after several critical reports on activities claimed to be illegal. To analyze the market impact of news, we use stock price data for Wirecard AG and apply the reversed news model. We elaborate on...